Search Results - (( java implementation tree algorithm ) OR ( waste classification system algorithm ))
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An internet of things based for smart recycle waste classification / Akmal Md Nasir
Published 2023“…To accurately categorise waste into the categories of metal, paper, plastic, and maybe other waste types, the system uses an image classification model based on the ResNet algorithm. …”
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ESS-IoT: The Smart Waste Management System for General Household
Published 2024“…An experiment is conducted to evaluate the accuracy of the two classification algorithms in classifying various types of waste. …”
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Real-time intelligent recycle waste detection and classification using you only look once version 5 / Aiman Syafwan Amran
Published 2023“…Because of that, this project aims to detect and classify a typed of recycled waste such paper, plastic and metal. It uses YOLOv5 object detection and classification algorithm. …”
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Material classification of recyclable waste using the weight and size of waste
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IoT-Enabled Waste Tracking and Recycling Optimization : Enhancing Sustainable Waste Management
Published 2025“…Advanced data preprocessing, such as augmentation and normalization, ensures robust model training, while optimized algorithms guide waste sorting based on classification results. …”
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Proceeding -
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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Mixed waste classification based on vision inspection / Hassan Mehmood Khan
Published 2022“…Classification of dry waste garbage is crucial since incorrect labelling of dry waste types may contribute huge loss to waste industry. …”
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Fault classification in transmission line using single layer feed-forward network trained by extreme learning machine / Muhamad Azfar Abd Ghafar
Published 2015“…The results of this work show that fault classification using SLFN trained by ELM has high accuracy on estimating fault in transmission line system.…”
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Fault classification in transmission line using single layer feed-forward network trained by extreme learning machine / Muhamad Azfar Abd Ghafar
Published 2015“…The results of this work show that fault classification using SLFN trained by ELM has high accuracy on estimating fault in transmission line system.…”
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Student Project -
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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Automation of plastic waste sorting through robotic technology
Published 2025“…The primary objective was to automate the classification and segregation of recyclable waste to improve accuracy and efficiency compared to manual sorting. …”
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Final Year Project / Dissertation / Thesis -
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Diabetic retinopathy pathological signs detection using image enhancement technique and deep learning / Abdul Hafiz Abu Samah …[et al.]
Published 2021“…Therefore, it is time-wasting and risky for humans to make mistake. In general, this paper introduces an automated machine learning algorithm for detecting diabetic retinopathy (DR) in fundus images. …”
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An Implementation Framework Overview of Non-Intrusive Load Monitoring
Published 2024journal::journal article -
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Microgrid multi-distributed energy resources for power management network stability / Bilal Mouneir Saeed Eid
Published 2016“…Increased penetration of DERs into conventional power systems, however, increases control challenges. Such challenges can be overcome by a microgrid, whose many features include integrating DERs without interrupting the grid operation, enabling power systems to observe and control faults more effectively, reducing the damage caused by DER outages, feeding critical loads continually, allowing load shedding and automated switching through control algorithms so outages and power restoration time are shortened, allowing either grid-connected or islanded operation, and improving system reliability and flexibility through DER’s many options. …”
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